Abstract: The DiTwinAR project explores the integration of Digital Twin and Augmented Reality (AR) technologies to improve efficiency, monitoring, and control in industrial engineering. It leverages tools such as Building Information Modeling (BIM), sensor-actuator networks, and AR/VR visualization to connect physical systems with digital platforms, enabling real-time interaction and deci-sion-making. The project begins with 3D data acquisition using terrestrial and aerial laser scanning. These scans are processed into point clouds that serve as the basis for de-tailed BIM models, which incorporate both geometric and property data. These models are then linked with real-time sensor inputs and actuator outputs to enable dynamic system responses. A key innovation of this work lies in the direct integration of industrial sensors and actuators into an AR/VR environment through real-time communication pro-tocols (IO-Link and Siemens S7). Unlike applications focused solely on visuali-zation, DiTwinAR establishes a bidirectional link between the immersive model and the actual control hardware, enabling both monitoring and interaction with operational equipment. This approach bridges the gap between virtual represen-tation and industrial automation, creating a functional framework for interactive supervision and control in real-world production environments. The system features a mobile AR/VR app that overlays live data on the BIM model via smartphones or tablets. Operators can view real-time sensor data, issue control commands, and navigate the facility using fiducial markers and 3D con-trols. The use of IFC importers supports seamless integration of BIM data into AR environments. Deliverables include 3D scan files, coordinated point clouds, a BIM model, inte-gration specifications, and the AR/VR application. The project demonstrates how digital twins can revolutionize industrial operations, with future goals focused on refining the technology and expanding its use across various industrial sectors.

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